CS 371: Introduction to
Artificial Intelligence
Machine Learning
What do agents learn?
Connectionism
Goals
The Neuron
The Neuron (cont.)
The Neuron (cont.)
Computer & Brain – a
comparison
Motivation for Neural
Network
The Neural Network Unit
Activation Functions
Understanding What Units
Compute
In-Class Exercise: Units
as Logic Gates
In-Class Exercise: Units
as Logic Gates
Linear Separability
3-Input Unit and Plane of
Separation
Perceptrons
Perceptron Learning Rule
Perceptron Learning
Network Learning
Algorithm
Is There Hope?
Simple Multilayer
Feed-Forward Network
Multilayer Feed-Forward
Network with 1 Hidden Layer
Back-Propagation
Back-Propagation (cont.)
Back-Propagation (cont.)
Slide 28
Momentum
Error Surface
Text Notation